Bayesian Networks: An Introduction

Bayesian Networks: An Introduction

by Timo Koski, John Noble
     
 

View All Available Formats & Editions

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability,

Overview

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.

Features include:

  • An introduction to Dirichlet Distribution, Exponential Families and their applications.
  • A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.
  • A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.
  • All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.

This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.

Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.

Editorial Reviews

From the Publisher
"It assumes only a basic knowledge of probability, statistics and mathematics and is well suited for classroom teaching . . . Each chapter of the book is concluded with short notes on the literature and a set of helpful exercises." (Mathematical Reviews, 2011)

"Extensively tested in classroom teaching … .The authors clearly define all concepts and provide numerous examples and exercises." (Book News, December 2009)

Product Details

ISBN-13:
9781119964957
Publisher:
Wiley
Publication date:
08/26/2011
Series:
Wiley Series in Probability and Statistics , #924
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
366
File size:
23 MB
Note:
This product may take a few minutes to download.

What People are saying about this

From the Publisher
"It assumes only a basic knowledge of probability, statistics and mathematics and is well suited for classroom teaching . . . Each chapter of the book is concluded with short notes on the literature and a set of helpful exercises." (Mathematical Reviews, 2011)

"Extensively tested in classroom teaching … .The authors clearly define all concepts and provide numerous examples and exercises." (Book News, December 2009)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >